Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.maia.ai/llms.txt

Use this file to discover all available pages before exploring further.

The SQL transformation component lets you write your own SQL SELECT statement. You can use this component without any input, or to transform data that it receives from other components in your pipeline. automatically saves your SQL statement as you work. You can sample data and view variables while writing your SQL statement in the Query field. To query a table from another component in the pipeline, your SELECT statement must use an expression that references the component by name. This expression has the form $T{<component name>}. For example, to select all from a table you have read with a Table Input component called “Table Input 1”, use the following statement: 
SELECT * FROM $T{Table Input 1}
If you need to write Data Definition Language (DDL) or Data Manipulation Language (DML) statements—such as CREATE, ALTER, INSERT, or UPDATE—use the SQL Script orchestration component instead.

​
Use case

This component is extremely versatile and can be used to query and transform data using complex logic. For example, you can use it to:
  • Aggregate data from multiple tables in your pipeline.
  • Clean and standardize data before loading it into your data warehouse.
  • Combine data from different sources using custom join and filter logic.

​
Variables

This component supports the use of pipeline and project variables. For more information, read Variables. For any code written inside the SQL transformation component, the variable syntax ${variable} is supported.

​
Properties

​
Name
string
required
A human-readable name for the component.
​
Query
code editor
required
The SQL query to execute.